Basis for the Selection of Data
Wavelet basis selection for spectroscopic data analysis
... Parameter selection of m, q and J in Chapters 2 and 3 was the critical component that determined the performance differences in the adaptive wavelet ...DWT data was applied ...
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Data representation and basis selection to understand variation of function valued traits
... arbitrary basis, while the top right is a pair of triangles formed from the canonical angle ...its basis point and the projection of the basis point onto N ...
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Basis-adaptive selection
... a basis-adaptive selection algorithm for selecting an SDR ...the basis estimates obtained by all possible pairs of the four SDR ...is data-driven and can be enhanced to other SDR methods, ...
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Selection of Nodes on the Basis of Loading Probabilities
... sensory data from battery powered, low computation and low memory wireless sensor ...of selection of no n od de e will be very useful for reducing the Traffic jam and risk of Failure the CH in LEACH ...
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Selection of Wavelet Basis Function for Image Compression : a Review
... zerotree data structure is precluded, but the embedding principles of lossless bit plane coding and set partitioning are ...region selection on compressed data, which depend on the exact position of ...
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HOW BASIS RISK AND SPATIOTEMPORAL ADVERSE SELECTION INFLUENCE DEMAND
... spectral data remotely sensed from satellite platforms at high spatiotemporal resolution (Chantarat et ...NDVI data are reliably and cheaply accessible in near real-time, and with a sufficiently long ...
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The Selection Suitable Targets in Tv on the Basis of Scores Relating to Ranking
... Data Envelopment Analysis (DEA) is a mathematical programming approach for the evaluation of the performance of the Decision Making Units (DMUs), especially when we intend to obtain the efficiency score of a DMU, so ...
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The rational basis for change is data. Data means statistical methods.
... With an appreciation for statistics, there comes a passion for procuring as much useful data as possible before making a decision. In purchasing a car, we may avidly— some might say obsessively—seek data ...
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Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
... Marius EneS [14], applied three types of probabilistic neural network (PNN), have been used to classification process. The Monte Carlo search (MCS), incremental search (IS) and hybrid search (HS) were use to the ...
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Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection
... [4] is a sparse learning approach aiming to address the stability problems of relevance vector machine (RVM) for classification problems. Since PCVM is based on Expectation Maximization (EM) algorithm, it suffers from ...
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Title: Energy Efficient Cluster Head Selection Basis of Distance in MANET
... If in between new node arrived then the energy level of this node also be measured and compared with the threshold value. IV. S ECURITY IN CLUSTER MANETS Security is a main issue in information routing between various ...
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Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... In 2010, Suresh et al. has developed a sequential learning algorithm for self-adaptive resource allocation network classifier [4]. The algorithm utilizes self-adaptive error based control parameters to alter the training ...
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The genetic basis for the selection of dairy goats with enhanced resistance to gastrointestinal nematodes
... GIN. Selection of animals with an enhanced resistance to GIN has been shown to be successful in ...reliable data on heritabilities of and genetic correlations between phenotypic traits linked to GIN and ...
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Algorithm selection on data streams
... the data stream al- ready provide information about which classifier will outperform ...algorithm selection problem, we can even use the meta-models obtained from earlier experiments to improve the current ...
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... input data points as candidate RBF centres and employing a common variance for every RBF ...input data points and adopt a common variance for every ...
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Selection on the basis of prior testing
... the basis of prior testing of its significance in the impulse saturated marginal model does not require bootstrapping critical ...model selection theory, but also for the emerging class of automatically ...
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Equity Basis Selection in Allocation Environments
... equity basis as a two-stage binary decision estimated with sequential probit ...equity basis should be per capita or selected amongst the remaining two ...capita basis unless there is sufficient ...
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The nutritional basis for food selection by ungulates.
... Whereas competition in Schoen- er’s model always results in a stable node equilibrium, with the population levels of both species depressed, competition in Miller’s [r] ...
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THE GENETIC BASIS FOR CONSTRUCTING SELECTION INDEXES
... The genetic gain which can be made by selecting for several traits simul- taneously within a group of animals is the product of (I) the selection differ- ential, ([r] ...
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Basis Set Selection for Molecular Calculations
... In fact, for most small to medium size energy-optimized basis sets one can span almost the same function space by simply uncontracting the three most diffuse s-type primitive[r] ...
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